Installation

• System/Hardware Requirements
• Installation
  • 1. Dependency Installation
  • 2. Install Pytorch
  • 3. Install Spconv

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System/Hardware Requirements

To get started, the following requirements should be fulfilled.

• System requirements. OpenCOOD is tested under Ubuntu 18.04
• Adequate GPU. A minimum of 6GB gpu is recommended.
• Disk Space. Estimate 100GB of space is recommended for data downoading.
• Python Python3.7 is required.

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Installation

1. Dependency Installation

First, download OpenCOOD github to your local folder if you haven't done it yet.

git clone https://github.com/DerrickXuNu/OpenCOOD.git
cd OpenCOOD

Next we create a conda environment and install the requirements.

conda env create -f environment.yml
conda activate opencood
python setup.py develop

If conda install failed, install through pip

pip install -r requirements.txt

2. Pytorch Installation (>=1.8, tested on 1.8-1.12.0)

Go to https://pytorch.org/ to install pytorch cuda version.

3. Spconv (1.2.1 or 2.x)

OpenCOOD support both spconv 1.2.1 and 2.x to generate voxel features.

To install spconv 1.2.1, please follow the guide in https://github.com/traveller59/spconv/tree/v1.2.1.

To install spconv 2.x, please run the following commands (if you are using cuda 11.3):

pip install spconv-cu113

Tips for installing spconv 1.2.1:

1. make sure your cmake version >= 3.13.2
2. CUDNN and CUDA runtime library (use nvcc --version to check) needs to be installed on your machine.

4. Bbx IOU cuda version compile

Install bbx nms calculation cuda version

python opencood/utils/setup.py build_ext --inplace

5. Dependencies for FPV-RCNN (optional)

Install the dependencies for fpv-rcnn.

python opencood/pcdet_utils/setup.py build_ext --inplace